A next-generation AI development company based in Belgium, specialising in Large Language Models, Small Language Models, and enterprise AI solutions โ built on the world's best cloud infrastructure.
End-to-end AI development, from model selection to production deployment.
We integrate state-of-the-art large and small language models into your existing enterprise systems. Fine-tuning, RAG pipelines, and custom model orchestration included.
Build autonomous AI agents for task automation, customer support, document processing, and decision support using agentic frameworks like LangGraph and AutoGen.
Enterprise-grade Retrieval-Augmented Generation (RAG) systems that connect your private data to AI models โ securely and with full EU data residency.
Architecture and deployment on AWS, Google Cloud, Azure, and OVHcloud. We optimise cost and design for scalability from day one.
Rapid proof-of-concept builds that validate AI use cases before full investment. Typical POC timelines: 2โ6 weeks with clear success metrics.
GDPR-compliant, EU AI Act-aligned solutions built with data privacy at the core. Particularly suited for regulated industries in Belgium and the EU.
Real AI systems we've architected and deployed โ from on-premise Ollama agents to cloud-native RAG platforms.
OllamaDesk is a fully on-premise enterprise AI assistant powered by Ollama running Llama 4 Scout locally, connected to enterprise tools via Anthropic's Model Context Protocol (MCP). No data ever leaves the corporate network โ making it ideal for GDPR-sensitive Belgian enterprises. A LangGraph ReAct loop orchestrates the reasoning and tool-execution cycle.
Runs Llama 4 Scout, Mistral Nemo, and Phi-4 entirely on-premise โ GPU or CPU inference, no API keys needed.
MCP servers expose filesystem, Microsoft 365 Calendar, PostgreSQL, and SharePoint as native tools the AI can invoke.
Stateful multi-step reasoning: the agent plans, calls tools, observes results, and self-corrects until the task completes.
DocuFlow AI is a production-grade Retrieval-Augmented Generation (RAG) platform built for Belgian enterprises that need to query large internal document repositories in Dutch, French, and English simultaneously. It uses Mistral Nemo for EU-native multilingual embeddings and Command R+ for grounded, citation-backed answers โ all deployed on OVHcloud for GDPR compliance.
Weaviate vector store with hybrid retrieval combining dense semantic search and keyword BM25 for maximum recall across document types.
Automatic language detection and cross-lingual retrieval โ ask in French, retrieve Dutch documents, get a unified English answer.
Every response is backed by direct source citations with document name, page number, and confidence score โ no hallucinations.
PDF, DOCX, PPTX, SharePoint, OneDrive โ auto-parsed & chunked
Mistral Nemo embeddings ยท 1024-dim vectors for NL/FR/EN
Dense vector + BM25 keyword indices on OVHcloud EU
Grounded answer synthesis with inline source citations
React frontend
FastAPI endpoints
SmartOps is a multi-agent AI system powered by Microsoft AutoGen and Claude Sonnet 4.5, connected to enterprise IT tools via MCP. When a P1/P2 alert fires from Prometheus or PagerDuty, three specialised AI agents โ Analyst, Executor, and Reviewer โ collaborate autonomously to diagnose the root cause, apply the fix (kubectl rollout, ServiceNow ticket update, scaling action), and verify resolution โ reducing Mean Time to Resolve (MTTR) by over 70%.
Three specialised agents in a GroupChat: Analyst reasons over metrics, Executor runs tools, Reviewer validates before committing changes.
ServiceNow, Jira, Prometheus, kubectl, and PagerDuty exposed as MCP tools โ the agent acts on real infrastructure with human-approval guardrails.
Automated first-response resolves known incident patterns in under 3 minutes, previously requiring 15โ45 minutes of on-call engineer time.
We work across the full spectrum โ from frontier models to efficient on-device SLMs.
Industry benchmark for general intelligence, coding, and reasoning. Massive ecosystem with function calling, vision, and tool use support.
Exceptional at long-document analysis, nuanced writing, and complex reasoning. 200K context window ideal for enterprise document processing.
Best-in-class multimodal model with 1M+ token context. Excels at video, image, audio, and text simultaneously. Native GCP integration.
Meta's flagship open-source multimodal model. MoE architecture for efficiency. Perfect for private on-premise deployments and GDPR-compliant EU workloads.
European AI champion with excellent performance at lower cost. MoE architecture with strong EU regulatory alignment and data residency options.
Breakthrough open-source model rivalling GPT-4 at a fraction of the cost. Exceptional at mathematics and complex chain-of-thought reasoning tasks.
xAI's frontier model with real-time internet access, strong agentic capabilities, and advanced reasoning for complex multi-step workflows.
Purpose-built for enterprise RAG and tool-use. Native grounding citations, multilingual support, and ideal for Belgian multilingual (NL/FR/DE) deployments.
14B parameter model outperforming much larger models on STEM, coding, and logical reasoning. Ideal for Azure-native and on-premise edge deployments.
3.8B model optimised for mobile, edge, and IoT devices. Remarkable instruction-following with extremely low inference cost and latency.
Google's open model family with best-in-class safety. Available in 3 sizes for different compute needs โ from edge devices to server deployments.
Ultra-compact Meta models for on-device inference. The 3B model achieves impressive performance for classification, summarisation, and extraction at near-zero cost.
Gold standard for 7B models. Mistral Nemo offers multilingual excellence โ Dutch, French, German โ perfect for Belgian enterprise deployments.
Outstanding multilingual SLM family with strong coding (Qwen-Coder) and math capabilities. Multiple sizes for balancing performance and compute requirements.
Sub-2B models for extreme edge deployment โ IoT sensors, mobile apps, browsers. TinyLlama (1.1B) runs on virtually any hardware with minimal memory.
3B fast-inference model optimised for edge systems and server deployments requiring low latency. Instruction-tuned variant excels at chatbot applications.
Battle-tested technologies for building production-grade AI systems.
๐ Machelen, Flanders, Belgium
We are a Belgium-based AI startup on a mission to make enterprise AI development accessible, GDPR-compliant, and genuinely useful. Situated in Machelen, Flanders โ minutes from Brussels Airport and the EU institutions โ we are uniquely positioned to serve European enterprise clients.
Our multilingual capabilities (Dutch, French, English, German) combined with deep AI expertise make us the ideal partner for Belgian and EU companies looking to adopt large language model technology without sacrificing data sovereignty.
All solutions built with EU data privacy regulations at the core โ no data leaves EU borders without consent.
Native support for Belgium's three official languages in all NLP and AI agent solutions we deliver.
Working AI prototypes in 2โ6 weeks leveraging cloud startup credits with minimal upfront investment.
Let's discuss your AI use case. We'll help you choose the right models, architecture the right stack, and ship a working solution fast.